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        <p>2017-8-10</p>
<h3 id="1-dlib安装步骤"><a href="#1-dlib安装步骤" class="headerlink" title="1.dlib安装步骤"></a>1.dlib安装步骤</h3><p>ubuntu下最好别用anaconda，会出现很多问题，宁可自己安装各种包！</p>
<blockquote>
<p>sudo apt-get install build-essential cmake<br>sudo apt-get install libgtk-3-dev<br>sudo apt-get install libboost-all-dev<br>sudo apt-get install libopenblas-dev liblapack-dev  # 提高cpu处理速度</p>
<h1 id="pip-install-scikit-image"><a href="#pip-install-scikit-image" class="headerlink" title="pip install scikit-image"></a>pip install scikit-image</h1><p>sudo apt-get install python-skimage<br>pip install dlib</p>
</blockquote>
<p>如果pip安装失败，可以直接从pypi上下载安装包，离线安装！<br>如果dlib指令安装失败还可以编译源码，源码里使用<code>sudo python setup.py install</code>，就可以安装了，仅python的API，前提是setuptools已经安装完成。</p>
<h3 id="2-ubuntu16-06安装opencv3-3"><a href="#2-ubuntu16-06安装opencv3-3" class="headerlink" title="2.ubuntu16.06安装opencv3.3"></a>2.ubuntu16.06安装opencv3.3</h3><p>1.安装各种依赖库</p>
<blockquote>
<p>[compiler] <code>sudo apt-get install build-essential</code><br>[required] <code>sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev</code><br>[optional] <code>sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev</code></p>
</blockquote>
<p>2.下载源码后生成编译文件<br>2.1创建一个文件夹用来放cmake后的编译文件</p>
<blockquote>
<p>cd ~/opencv<br>mkdir build<br>cd build</p>
</blockquote>
<p>2.2cmake后创建make所需的文件</p>
<blockquote>
<p><code>cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..</code></p>
</blockquote>
<p>build文件夹下会产生makefile文件用于编译，cmake的编译选项还有其他的，但目前用上面的就够了，python的接口也包含进去了</p>
<p>3.编译源码产生对象文件(<strong>.o</strong>文件)</p>
<blockquote>
<p><code>make -j4</code> # j4表示开启4个线程<br><code>sudo make install</code> # 安装opencv库到系统中</p>
</blockquote>
<ol>
<li>配置opencv.conf file ，加入环境变量</li>
</ol>
<p><img src="https://github.com/2033329616/image_hosting/raw/master/%E5%B0%8F%E4%B9%A6%E5%8C%A0/error1.jpg" alt="enter description here" title="不进行此步骤出现的错误"></p>
<blockquote>
<p><code>sudo gedit /etc/ld.so.conf.d/opencv.conf</code></p>
<p>如果没有该文件，则上述的命令会创建该文件，在opencv.conf里面加入 <code>/usr/local/lib</code></p>
<h2 id="sudo-ldconfig-更新库目录"><a href="#sudo-ldconfig-更新库目录" class="headerlink" title="sudo ldconfig #更新库目录"></a><code>sudo ldconfig</code> #更新库目录</h2><p><a href="http://jingpin.jikexueyuan.com/article/36054.html" target="_blank" rel="noopener">Ubuntu 安装OpenCV3.0.0</a> blog里还有下述步骤：<br>打开文件<code>bash.bashrc</code><br><code>sudo gedit /etc/bash.bashrc</code></p>
<p>加入下面两行<br><code>PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig</code><br><code>export PKG_CONFIG_PATH</code></p>
</blockquote>
<p>我这里进行测试，没有该步骤也行！</p>
<hr>
<p>5.测试opencv<br>5.1 C++版本</p>
<figure class="highlight cpp"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br></pre></td><td class="code"><pre><span class="line"><span class="meta">#<span class="meta-keyword">include</span> <span class="meta-string">"opencv2/opencv.hpp"</span></span></span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> cv;  </span><br><span class="line"><span class="function"><span class="keyword">int</span> <span class="title">main</span><span class="params">()</span> </span>&#123;    </span><br><span class="line">Mat src = imread(<span class="string">"test3.jpg"</span>,<span class="number">1</span>); </span><br><span class="line">imshow(<span class="string">"src"</span>,src);   </span><br><span class="line">waitKey(<span class="number">0</span>);  </span><br><span class="line"><span class="keyword">return</span> <span class="number">0</span>; &#125;</span><br></pre></td></tr></table></figure>
<p>编译方式：<br>1 命令行<br><figure class="highlight shell"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">g++  opencvtest.cpp -o opencvtest `pkg-config  --cflags --libs opencv`</span><br></pre></td></tr></table></figure></p>
<p>cflags前面是两个横线</p>
<p>2 借助cmake，写CMakeLists.txt</p>
<figure class="highlight cmake"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">cmake_minimum_required</span>(VERSION <span class="number">2.8</span>)</span><br><span class="line"><span class="keyword">project</span>(opencvtest)</span><br><span class="line"><span class="keyword">find_package</span>( OpenCV REQUIRED )</span><br><span class="line"><span class="keyword">add_executable</span>( opencvtest opencvtest.cpp )</span><br><span class="line"><span class="keyword">target_link_libraries</span>( opencvtest <span class="variable">$&#123;OpenCV_LIBS&#125;</span> )</span><br></pre></td></tr></table></figure>
<p>之后 执行</p>
<blockquote>
<p><code>cmake .</code><br><code>Make</code>   # 生成可执行文件<br><code>./ test</code> # 运行程序进行测试</p>
</blockquote>
<p>5.2python版本<br><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> cv2</span><br><span class="line">img = cv2.imread(<span class="string">'test3.jpg'</span>,<span class="number">1</span>)</span><br><span class="line">cv2.imshow(<span class="string">'img'</span>,img)</span><br><span class="line">cv2.waitKey(<span class="number">0</span>)</span><br></pre></td></tr></table></figure></p>
<blockquote>
<p><code>python test.py</code> #运行该出现，会显示一张图片</p>
</blockquote>
<p>至此opencv的配置完成！</p>
<h3 id="3-virtualbox虚拟机的ubuntu系统下打开笔记本自带的摄像头"><a href="#3-virtualbox虚拟机的ubuntu系统下打开笔记本自带的摄像头" class="headerlink" title="3.virtualbox虚拟机的ubuntu系统下打开笔记本自带的摄像头"></a>3.virtualbox虚拟机的ubuntu系统下打开笔记本自带的摄像头</h3><blockquote>
<p><code>cheese</code>  #在ubuntu里可以打开摄像头</p>
</blockquote>
<p>  如果打不开，则需要设置virtualbox。<br>  1.首先去官网下载virtualbox的扩展包进行安装，如下图：</p>
<p>  <img src="https://github.com/2033329616/image_hosting/raw/master/%E5%B0%8F%E4%B9%A6%E5%8C%A0/virtualbox0.jpg" alt="enter description here" title="3.1 安装扩展包"></p>
<ol>
<li>然后设置虚拟机的usb选项，并勾选设备选项里的摄像头选项</li>
</ol>
<p><img src="https://github.com/2033329616/image_hosting/raw/master/%E5%B0%8F%E4%B9%A6%E5%8C%A0/virtualbox.jpg" alt="enter description here" title="3.2 设置usb控制器为usb2.0"></p>
<p> <img src="https://github.com/2033329616/image_hosting/raw/master/%E5%B0%8F%E4%B9%A6%E5%8C%A0/virtualbox2_1.jpg" alt="enter description here" title="3.3 勾选设备选项里的摄像头"></p>
<p>  设置好后再使用<code>cheese</code>指令打开摄像头，或运行与摄像头相关的程序，由于是虚拟机的原因摄像头比较卡。</p>
<h3 id="4-whl文件安装中的问题处理"><a href="#4-whl文件安装中的问题处理" class="headerlink" title="4.whl文件安装中的问题处理"></a>4.whl文件安装中的问题处理</h3><p> 原文件： <code>opencv_python-3.1.0-cp34-cp34m-win_amd64.whl</code>，<br>改后的文件：<code>opencv_python-3.1.0-cp34-none-win_amd64.whl</code><br> <strong>把原来文件名中间的cp34m变为none(其实不改也能安装成功)，并且cp34要和python的版本对应，如cp36表示python版本3.6，如果不改的话不然会出现下面的问题：(但只是更改版本号可能会带来兼容性问题)</strong></p>
<p>opencv_python-3.1.0-cp34-cp34m-win_amd64.whl is not a supported wheel on this platform.</p>
<blockquote>
<p>pip3 install 路径名\opencv_python-3.1.0-cp34-none-win_amd64.whl<br>安装该模块 </p>
</blockquote>
<h3 id="5-pip换源提升安装库的速度和稳定性"><a href="#5-pip换源提升安装库的速度和稳定性" class="headerlink" title="5. pip换源提升安装库的速度和稳定性"></a>5. <strong>pip换源提升安装库的速度和稳定性</strong></h3><p>网上有很多可用的源，<br>豆瓣：<a href="http://pypi.douban.com/simple/" target="_blank" rel="noopener">http://pypi.douban.com/simple/</a><br> 清华：<a href="https://pypi.tuna.tsinghua.edu.cn/simple" target="_blank" rel="noopener">https://pypi.tuna.tsinghua.edu.cn/simple</a></p>
<p> <code>pip install -i https://pypi.tuna.tsinghua.edu.cn/simple 库名</code> 这样就会从清华这边的镜像去安装库。</p>
<p> 更改配置文件：<br>1.Linux系统<br>修改<code>~/.pip/pip.conf</code> (没有就创建一个)， 修改 index-url至tuna，内容如下：<br> <figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">[global]</span><br><span class="line">index-url = https://pypi.tuna.tsinghua.edu.cn/simple</span><br></pre></td></tr></table></figure></p>
<p>2.windows<br>直接在user目录中创建一个pip目录，如：C:\Users\xx\pip，新建文件<strong>pip.ini</strong>，内容如下<br> <figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">[global]</span><br><span class="line">index-url = https://pypi.tuna.tsinghua.edu.cn/simple</span><br></pre></td></tr></table></figure></p>
   <font color="red" face="宋体">进过不断的试错，总结如下：
   1.首先为pip换源，这样大部分的库可以直接指令安装
   2.换源后安装失败的，可以在[source1][7]和[source2][8]下载whl文件离线安装
   3.大部分依赖库安装失败都是下载失败导致，所以上述两种方法可以解决大部分问题</font>

<p> <a href="http://blog.csdn.net/qw_xingzhe/article/details/52675158" target="_blank" rel="noopener">更改pip源至国内镜像，显著提升下载速度</a></p>

      
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        .fail(function (object, error) {
          console.log("Error: " + error.code + " " + error.message);
        });
    }

    function addCount(Counter) {
      var $visitors = $(".leancloud_visitors");
      var url = $visitors.attr('id').trim();
      var title = $visitors.attr('data-flag-title').trim();
      var query = new AV.Query(Counter);

      query.equalTo("url", url);
      query.find({
        success: function(results) {
          if (results.length > 0) {
            var counter = results[0];
            counter.fetchWhenSave(true);
            counter.increment("time");
            counter.save(null, {
              success: function(counter) {
                var $element = $(document.getElementById(url));
                $element.find('.leancloud-visitors-count').text(counter.get('time'));
              },
              error: function(counter, error) {
                console.log('Failed to save Visitor num, with error message: ' + error.message);
              }
            });
          } else {
            var newcounter = new Counter();
            /* Set ACL */
            var acl = new AV.ACL();
            acl.setPublicReadAccess(true);
            acl.setPublicWriteAccess(true);
            newcounter.setACL(acl);
            /* End Set ACL */
            newcounter.set("title", title);
            newcounter.set("url", url);
            newcounter.set("time", 1);
            newcounter.save(null, {
              success: function(newcounter) {
                var $element = $(document.getElementById(url));
                $element.find('.leancloud-visitors-count').text(newcounter.get('time'));
              },
              error: function(newcounter, error) {
                console.log('Failed to create');
              }
            });
          }
        },
        error: function(error) {
          console.log('Error:' + error.code + " " + error.message);
        }
      });
    }

    $(function() {
      var Counter = AV.Object.extend("Counter");
      if ($('.leancloud_visitors').length == 1) {
        addCount(Counter);
      } else if ($('.post-title-link').length > 1) {
        showTime(Counter);
      }
    });
  </script>



  

  
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